ArticleeLife2020
Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 72 citations in OpenAlex.
- Robust and generalizable CNV detection for single-cell sequencing assays.Nucleic acids research · 2026Article
- The role of non-coding variants in hereditary cancer syndromes: mechanistic insights and clinical implications.Annals of medicine and surgery (2012) · 2026Review
- TONSOKU prevents the formation of large tandem duplications and restrains ATR-WEE1 checkpoint activation.Nature communications · 2026Article
- Current landscape of single-cell genomics in meningioma.Neuro-oncology advances · 2026Review
- Replication stress increases de novo CNVs across the malaria parasite genome.Nucleic acids research · 2026Article
- Replication stress increases de novo CNVs across the malaria parasite genome.bioRxiv : the preprint server for biology · 2025Article
- Direct long-read visualization reveals hidden variation in GCH1 gene copy number and precise expansion steps.BMC genomics · 2025Article
- Transfer Learning for Error-Contaminated Poisson Regression Models.Statistics in medicine · 2025Article
- Spatial-temporal radiogenomics in predicting neoadjuvant chemotherapy efficacy for breast cancer: a comprehensive review.Journal of translational medicine · 2025Review
- Detecting branching rate heterogeneity with tree balance statistics in lineage tracing trees.bioRxiv : the preprint server for biology · 2025Article
- Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones.Nucleic acids research · 2025Article
- A new insight into the impact of copy number variations on cell cycle deregulation of luminal-type breast cancer.Oncology reviews · 2025Review
- Single-cell omics: experimental workflow, data analyses and applications.Science China. Life sciences · 2025Review
- Insight into the evolution of breast cancer driven by genetic alterations.Cancer biology & medicine · 2024Article
- Aneuploidy and complex genomic rearrangements in cancer evolution.Nature cancer · 2024Review
- Article
- SPACEL: deep learning-based characterization of spatial transcriptome architectures.Nature communications · 2023Article
- Integrative multi-omic sequencing reveals the MMTV-Myc mouse model mimics human breast cancer heterogeneity.Breast cancer research : BCR · 2023Article
- Phertilizer: Growing a clonal tree from ultra-low coverage single-cell DNA sequencing of tumors.PLoS computational biology · 2023Article
- Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 7 institutions in 1 country.
Funding
Abstract
Copy number alterations (CNAs) play an important role in molding the genomes of breast cancers and have been shown to be clinically useful for prognostic and therapeutic purposes. However, our knowledge of intra-tumoral genetic heterogeneity of this important class of somatic alterations is limited. Here, using single-cell sequencing, we comprehensively map out the facets of copy number alteration heterogeneity in a cohort of breast cancer tumors. Ou/var/www/html/elife/12-05-2020/backup/r analyses reveal: genetic heterogeneity of non-tumor cells (i.e. stroma) within the tumor mass; the extent to which copy number heterogeneity impacts breast cancer genomes and the importance of both the genomic location and dosage of sub-clonal events; the pervasive nature of genetic heterogeneity of chromosomal amplifications; and the association of copy number heterogeneity with clinical and biological parameters such as polyploidy and estrogen receptor negative status. Our data highlight the power of single-cell genomics in dissecting, in its many forms, intra-tumoral genetic heterogeneity of CNAs, the magnitude with which CNA heterogeneity affects the genomes of breast cancers, and the potential importance of CNA heterogeneity in phenomena such as therapeutic resistance and disease relapse.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.